Space Objects Maneuvering Prediction via Maximum Causal Entropy Inverse Reinforcement Learning
Inverse Reinforcement Learning (RL) can be used to determine the behavior of Space Objects (SOs) by estimating the reward function that an SO is using for control. The approach discussed in this work can be used to analyze maneuvering of SOs from observational data. The inverse RL problem is solved...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
American Institute of Aeronautics and Astronautics (AIAA)
2021
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| Online Access: | https://hdl.handle.net/1721.1/137730 |